#jupysql

Live, measured metrics for the hashtag #jupysql from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #jupysql

This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.

$240.06/ year · 7-character #name
Claim #jupysql — $240.06/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
10
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 10
0
Avg reactions / post
Mastodon · last 10
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-10-15 21:21 UTC
0
10-09
0
10-10
0
10-11
0
10-12
0
10-13
0
10-14
0
10-15

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mas.to (Mastodon public search API) · fetched 2026-10-15 21:21 UTC

No related tags with measured usage found for #jupysql.

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-10-15 21:21 UTC

Everything below is measured over the latest 10 public posts (spanning ~12575 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (9) · Spanish (1)

Avg boosts / post: 0.4

Top of the latest posts

  • Weird feeling, watching videos to catch up with a project descended from my own creation. So much amazing work maturing #jupysql - thanks @ploomber!

    Catherine Devlin@[email protected]♥ 0↻ 02024-06-13 14:42 UTCView post →

  • Using #MarkdownSQLPro Tools 🛠️ with new #SQLBookmarks 🔖, #SQLite & our #DuckDBPro #SQLTools in #VSCode IDE on @ploomber's #JupySQL #JupyText / #MyST #JupyterBook 📓 markdown docs 😎 #SQL #DuckDB #Markdown #ProDataTools 🧙‍♂️ ...

    Taras Novak 🇺🇦@[email protected]♥ 0↻ 02023-08-01 18:59 UTCView post →

  • Same #JupySQL Intro #JupyterBook 📓 markdown document in #VSCode IDE with the added top level Execute All, Select All, Extract All SQL code lenses, and Execute, Select, Copy and Create SQL code lenses in the code cells with %%sql #SQLMagics

    Taras Novak 🇺🇦@[email protected]♥ 0↻ 02023-07-31 15:15 UTCView post →

#jupysql across platforms

every network with a public tag surface

Follow #jupysql straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/jupysql